• Title/Summary/Keyword: constant output

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The Development of Real-time Feedback Vibration Control System Using Wireless Sensor Networks (무선 센서 네트워크를 이용한 실시간 Feedback 진동제어 시스템 개발)

  • Heo, Gwang Hee;Kim, Chung Gil;Ahn, Ui Jong
    • Journal of the Korea institute for structural maintenance and inspection
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    • v.16 no.3
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    • pp.60-66
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    • 2012
  • This paper aims to constitute a feedback vibration control system using wireless sensor networks and experiment it on a model structure to verify its effectiveness. For the purpose, we set up a feedback vibration control system composed of a wireless input/output(I/O) sensor node based on bluetooth, a home-made shear type MR damper, a shaker which generates a constant size of sine wave, and a simple beam model structure. The vibration control experiment was performed by shaking the 1/4 point of beam with a shaker. At the moment of shaking, we controled the vibration with MR damper which was placed vertically on the center of beam. Simultaneously, by acquiring acceleration response at the 2/4 point of beam, we evaluated the effectiveness of control capability. The control command was set to send a voltage signal to MR damper when the acceleration response, acquired from the wireless I/O sensor node placed at the center of beam, was more than a certain amount. Although the realtime feedback vibration control system constituted in this paper is effective only within a limited command system, it has been proven that the system was able to effectively decrease the vibration of structure by generating a control command aimed for realtime purpose. The system also showed a possibility to be used as a structural response control system adapting a variety of semi-active control algorithm.

Development of Improvement Effect Prediction System of C.G.S Method based on Artificial Neural Network (인공신경망을 기반으로 한 C.G.S 공법의 개량효과 예측시스템 개발)

  • Kim, Jeonghoon;Hong, Jongouk;Byun, Yoseph;Jung, Euiyoup;Seo, Seokhyun;Chun, Byungsik
    • Journal of the Korean GEO-environmental Society
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    • v.14 no.9
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    • pp.31-37
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    • 2013
  • In this study installation diameter, interval, area replacement ratio and ground hardness of applicable ground in C.G.S method should be mastered through surrounding ground by conducting modeling. Optimum artificial neural network was selected through the study of the parameter of artificial neural network and prediction model was developed by the relationship with numerical analysis and artificial neural network. As this result, C.G.S pile settlement and ground settlement were found to be equal in terms of diameter, interval, area replacement ratio and ground hardness, presented in a single curve, which means that the behavior pattern of applied ground in C.G.S method was presented as some form, and based on such a result, learning the artificial neural network for 3D behavior was found to be possible. As the study results of artificial neural network internal factor, when using the number of neural in hidden layer 10, momentum constant 0.2 and learning rate 0.2, relationship between input and output was expressed properly. As a result of evaluating the ground behavior of C.G.S method which was applied to using such optimum structure of artificial neural network model, is that determination coefficient in case of C.G.S pile settlement was 0.8737, in case of ground settlement was 0.7339 and in case of ground heaving was 0.7212, sufficient reliability was known.

Spectrophotometric Study of Acidity and Complex Formation of Anti-Inflammatory Drug Piroxicam with Some Transition Metal Ions in Different Methanol/Water Mixtures by Chemometric Methods (Chemometric 방법에 의한 메탄올/물 계에서 전이 금속 이온과 소염제 Piroxicam의 산성도 및 착체 형성에 관한 분광광도법 연구)

  • Ghasemi, Jahan B.;Jalalvand, Alireza
    • Journal of the Korean Chemical Society
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    • v.53 no.6
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    • pp.693-703
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    • 2009
  • The complex formation of anti-inflamatory drug piroxicam (PX, 4-hydroxy-2-methyl-N-2--pridyl-2H-1,2-benzothiazine-3-carboxadiamide-1,1-dioxide) with transition metal ions Co(II), Ni(II), Cu(II) and Zn(II) in methanol(MeOH)/water binary mixtures were studied by spectrophotometric method at 25$^{\circ}C$, constant pH = 5.0 and I = 0.1 M. The computer program SQUAD was used to extract the desired information from the spectral data. The outputs of the fitting processes were stability constants, standard deviations of the estimated stability constants, concentration distribution diagrams and spectral profiles of all species. The sequence of the stability constants of PX complexes with Co(II), Ni(II), Cu(II) and Zn(II) follow the Cu(II) > Co(II) > Ni(II) ${\approx}$ Zn(II) order. This may be due to different geometry tendencies of these metal ions. The acidity constants of the PX were also determined under above condition from its absorption spectra at different pH values. The computer program DATAN was used for determination of acidity constants of PX. The validity of the obtained acidity constants was checked by a well known computer program SPECFIT/32. The effects of the different parameters like solvent nature, cations characteristics on the stability and acidity constants were thoroughly discussed.

The Relationship between Pain Perception Scale and Keratinization Rate of Oral Mucosa to Nd-YAG Laser Stimulation in Burning Mouth Syndrome Patients (구강작열감 증후군 환자에서 Nd-YAG 레이저 조사에 대한 구강점막 부위의 통증 인지도와 점막세포 각화도와의 관계)

  • Kim, Ji-Yeon;Kim, Byung-Gook;Chung, Sung-Su
    • Journal of Oral Medicine and Pain
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    • v.26 no.2
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    • pp.161-171
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    • 2001
  • In order to determine how oral mucosal change relates to inducing factors of burning mouth syndrome, the difference in pain perception scale and keratinization rate between burning mouth syndrome patients and normal subjects were investigated. Twenty patients (13 female, 7 male, mean age: 59 years), presenting in the Department of Oral Medicine, Chonnam National University Hospital were participated in this study. All subjects had been complaining of constant oral burning pain for more than a year, none took any strong analgesics, and none had oral mucosal lesions. Twenty volunteers (11 females, 9 males, mean age: 25 years) were also participated in this study as a control group. The control subjects had never had any symptoms of oral burning pain. A thermal stimulation using a Nd-YAG laser and cytological smear were carried out to anterodorsal part of tongue, tip of tongue, the left buccal mucosa, the lower lip mucosa and the chief complaint site. Stimulation of the dorsum of left hand was also carried out to contrast the mucosal area of burning mouth syndrome subjects and the control subjects. The laser output power could be adjusted from 0.75W to 4W. The pain perception scale of the burning mouth syndrome subjects were lower than in control subjects in the chief complaint area, the anterodorsal part of tongue and the buccal mucosa(p<0.01). The keratinization rate of burning mouth syndrome subjects, however, was higher keratinization rate than in normal subjects in the same area and lower lip mucosa(p<0.001). From above results, the anterodorsal part of tongue is the most appropriate site to use diagnostic laser stimulation. The higher level of keratinization and the lower level of thermal pain perception of the burning mouth syndrome subjects are explained as a protective mechanism against xerostomia and burning sensations. The application of Nd-YAG laser stimuli and cytological smear to oral mucosal surface could therefore be usefully employed as appropriate and standardized diagnostic tools for chronic orofacial pain subjects.

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Design of Optimized pRBFNNs-based Face Recognition Algorithm Using Two-dimensional Image and ASM Algorithm (최적 pRBFNNs 패턴분류기 기반 2차원 영상과 ASM 알고리즘을 이용한 얼굴인식 알고리즘 설계)

  • Oh, Sung-Kwun;Ma, Chang-Min;Yoo, Sung-Hoon
    • Journal of the Korean Institute of Intelligent Systems
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    • v.21 no.6
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    • pp.749-754
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    • 2011
  • In this study, we propose the design of optimized pRBFNNs-based face recognition system using two-dimensional Image and ASM algorithm. usually the existing 2 dimensional face recognition methods have the effects of the scale change of the image, position variation or the backgrounds of an image. In this paper, the face region information obtained from the detected face region is used for the compensation of these defects. In this paper, we use a CCD camera to obtain a picture frame directly. By using histogram equalization method, we can partially enhance the distorted image influenced by natural as well as artificial illumination. AdaBoost algorithm is used for the detection of face image between face and non-face image area. We can butt up personal profile by extracting the both face contour and shape using ASM(Active Shape Model) and then reduce dimension of image data using PCA. The proposed pRBFNNs consists of three functional modules such as the condition part, the conclusion part, and the inference part. In the condition part of fuzzy rules, input space is partitioned with Fuzzy C-Means clustering. In the conclusion part of rules, the connection weight of RBFNNs is represented as three kinds of polynomials such as constant, linear, and quadratic. The essential design parameters (including learning rate, momentum coefficient and fuzzification coefficient) of the networks are optimized by means of Differential Evolution. The proposed pRBFNNs are applied to real-time face image database and then demonstrated from viewpoint of the output performance and recognition rate.

Design of High-Speed Multi-Layer PCB for Ultra High Definition Video Signals (UHD급 영상구현을 위한 다층인쇄회로기판의 특성 임피던스 분석에 관한 연구)

  • Jin, Jong-Ho;Son, Hui-Bae;Rhee, Young-Chul
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.19 no.7
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    • pp.1639-1645
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    • 2015
  • In UHD high-speed video transmission system, when a signal within certain frequency region coincides electrically and structurally, the system becomes unstable because the energy is concentrated, and signal flux is interfered and distorted. For the instability, power integrity analysis should be conducted. To remove the signal distortion for MLB, using a high-frequency design technique for EMI phenomenon, EMI which radiates electromagnetic energy fluxed into power layer was analyzed considering system stabilization. In this paper, we proposed an adaptive MLB design method which minimizes high-frequency noise in MLB structure, enhances signal integrity and power integrity, and suppresses EMI. The characteristic impedance for multi-layer circuit board proposed in this study were High-Speed Video Differential Signaling(HSVDS) line width w = 0.203, line gap d = 0.203, beta layer height h = 0.145, line thickness t = 0.0175, dielectric constant εr = 4.3, and characteristic impedance Zdiff = 100.186Ω. When high-speed video differential signal interface board was tested with optimized parameters, the magnitude of Eye diagram output was 672mV, jittering was 6.593ps, transmission frequency was 1.322GHz, signal to noise was 29.62dB showing transmission quality improvement of 10dB compared to previous system.

Comparison of Runoff Models for Small River Basins (소하천 유역에서의 유출해석모형 비교)

  • 강인식
    • Water for future
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    • v.29 no.4
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    • pp.209-221
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    • 1996
  • It may be difficult to make exact estimates of peak discharge or runoff depth of a flood and to establish the proper measurement for the flood protection since water stages or discharges have been rarely measured at small river basins in Korea. Three small catchments in the Su-Young river basin in Pusan were selected for the study areas. Various runoff parameters for the study areas were determined, and runoff analyses were performed using three different runoff models available in literatures; the storage function method, the discrete, linear, input-output model, and the linear reservoir model. The hydrographs calculated by three different methods showed good agreement with the observed flood hydrographs, indicating that the models selected are all capable of sucessfully modeling the flood events for small watersheds. The storage function method gave the best results in spite of its weakness that it could not be applicable to small floods, while the linear reservoir model was found to provide relatively good results with less parameters. The capabilities of simulating flood hydrographs were also evaluated based on the effective rainfall from the storage function parameters, the $\Phi$-index method, and the constant percentage method. For the On-Cheon stream watershed, the storage function parameters provided better estimates of effective rainfall for regenerating flood hydrographs than any others considered in the study. The $\Phi$-index method, however, resulted in better estimates of effective rainfall for the other two study areas.

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The Development of 63nm Diode Laser System for Photodynamic Therapy of Cancer (광역학적 암치료를 위한 635nm 다이오드 레이저 시스템 개발)

  • 임현수
    • Journal of Biomedical Engineering Research
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    • v.24 no.4
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    • pp.319-328
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    • 2003
  • The purpose of this paper is to develop a medical laser system using the semiconductor diode laser in order to photodynamic cancel therapy as a light source. The ideal light source for photodynamic therapy would be a homogeneous nondiverging light with variable spot size and specific wavelength with stability. After due consideration in this point, in this paper, we used a diode laser resonator of 635nm wavelength. The development laser system have a statistical laser out beam with accuracy control using the constant current control of method and clinic-friendly with compact. In order to protect the diode resonator from the over-current, the rush-current and electrical fault, we specially designed. The most importance therapeutic factor are the radiation mode for cancer therapy. So we developed the radiation mode of CW(Continuous Wave), long pulse, short pulse, and burst pulse and can adjust the exposure time from several milli-second to several minute. The experimental result shows that laser beam power was increased linear from 10mW to 300mW according to the increasing input current and the increasing exposure time. The developed new compact diode laser system have a stability of output power and specific wavelength with easy control and transportable for many applications of PDT.

On Building the Solar Dataset Form using the Kaggle Platform: The applicability of Machine Learning (캐글 플랫폼 활용한 태양광 데이터셋 형태 구축: 머신 러닝의 적용 가능성)

  • Ko, Ju-won;Park, Jung-jin;Park, Jin-woo;Oh, Do-hee;Kim, Mincheol
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2022.05a
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    • pp.255-258
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    • 2022
  • As environmental pollution continues, attention on renewable energy is on the constant rise in recent days. Although various kinds of renewable energy such as solar, wind power and biomass energy have been generated in Jeju, opening and analyzing cases on related data seem insufficient. Therefore, this study is being conducted to deduce the variables which have high relation with solar panel&s output and to understand machine learning methods that can be applied to solar power generation data by utilizing Kaggle platform, which is actively used by a number of scientists. Then, it is planned to propose a form of solar power generation dataset by researching machine learning methods that could be applied to the data. To be specific, analyzing solar power generation data with the Kaggle platform, this study will provide complements on gathering solar power data in Jeju. This study is anticipated to be utilized on data analysis for developing the solar power industry in Jeju. That is, this study is expected to reveal the room for improvement inherent in existing open datasets in Jeju, so that they could be constructed in a suitable form for machine learning for AI analytics. Through this process, a method to increase efficiency of solar power generation is anticipated to be prepared.

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Investigating the Influence of Rate Dependency and Axial Force on the Seismic Performance Evaluation of Isolation Bearing (면진받침의 내진성능평가를 위한 실험 시 속도의존성과 수직하중의 영향)

  • Minseok Park;Yunbyeong Chae;Chul-Young Kim
    • Journal of the Korea institute for structural maintenance and inspection
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    • v.27 no.6
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    • pp.22-29
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    • 2023
  • In the evaluation of seismic performance for structural materials and components, the loading rate and axial force can have a significant impact. Due to time-delay effects between input and output displacements, It is difficult to apply high-rate displacement in cyclic tests and hybrid simulations. Additionally, the difficulty of maintaining a consistent vertical load in the presence of lateral displacement has limited fast and real-time tests performed while maintaining a constant vertical load. In this study, slow, fast cyclic tests and real-time hybrid simulations were conducted to investigate the rate dependency and the influence of vertical loads of Isolation Bearing. In the experiment, the FLB System including an Adaptive Time Series (ATS) compensation and a state estimator was constructed for real-time control of displacement and vertical load. It was found that the vertical load from the superstructure and loading rate can have a significant impact on the strength of the seismic isolation bearing and its behavior during an earthquake. When conducting experiments for seismic performance evaluation, they must be implemented to be similar to reality. This study demonstrates the excellent performance of the system built and used for seismic performance evaluation and enables accurate and efficient seismic performance evaluation.